Applied LLM Scientist, Vesper

Company: Amazon
Location: Seattle
Posted on: April 2, 2026

Job Description:

Join us in building the future of shopping! If you're passionate about creating unique mobile experiences that is an AI first experience. We are seeking exceptional applied scientists who will help build magical shopping experiences leveraging and extending state of the art machine learning that leverage foundational models and proved optimization techniques. You will be working on an inter-disciplinary team of highly-capable software engineers (mobile and backend), scientists, designers, and product managers to invent new experiences that work for millions of customers at scale. You will act as a technical lead guiding software development engineers and scientists to bring scientific improvements into production. Key job responsibilities • Lead a cross-functional team of applied scientists, machine learning engineers, and software developers in designing and implementing AI-powered shopping experiences using foundational models and advanced optimization techniques • Define technical strategy and roadmap for machine learning initiatives, making executive decisions on architecture, technology stack, and resource allocation to achieve business objectives at scale • Oversee the end-to-end development lifecycle, directing team members in the design, implementation, and deployment of innovative AI/ML solutions that serve millions of customers • Development and mentors engineers and scientists and advise on team composition and structure • Drive cross-functional collaboration at the leadership level, working with senior product managers, designers, and engineering leaders to align ML initiatives with broader organizational goals • Establish and enforce technical standards, code quality guidelines, and best practices across the organization, ensuring scalability, performance, and reliability of production systems • Make critical business decisions regarding project prioritization, and trade-offs between innovation speed and system stability • Represent the technical organization to executive leadership, providing strategic recommendations and reporting on team performance, project milestones, and resource needs - 3 years of building machine learning models for business application experience - PhD, or Master's degree and 6 years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Keywords: Amazon, South Hill , Applied LLM Scientist, Vesper, IT / Software / Systems , Seattle, Washington